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Sr Manager, Data Science and GenAI
- Post Holdings Inc. (Lakeville, MN)
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**Brand:** Post Consumer Brands
**Categories:** Information Technology
**Locations:** Lakeville, Minnesota
**Position Type:** Regular Full-Time
**Remote Eligible:** No
**Req ID:** 28846
Job Description
Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company’s portfolio includes beloved brands such as Honey Bunches of Oats®, PEBBLES®, Grape-Nuts® and Malt-O-Meal® cereal, and Peter Pan® peanut butter, as well as Nutrish®, Kibbles ‘n Bits® and 9Lives® dog and cat food. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn and Facebook for the latest news.
Brand
At Post Consumer Brands, we’ve spent generations showing up for families, starting with breakfast, the most important meal of the day. Our cereals have become a trusted part of daily routines, helping spark conversations, fuel busy mornings, and create everyday moments that bring families closer together, including their furry four-legged family members, who have recently become a part of our story. As families have evolved, so have we. What began at the breakfast table has expanded into snacks, peanut butter, and, more recently, pet food, because caring for a family means feeding every part of it. With the addition of several iconic pet brands, we’ve extended our purpose: to make high-quality, accessible food for everyone under the same roof.
This phase is still new, and that’s what makes it exciting. As we continue to grow across grocery and pet, we’re looking for people who care about good food, thoughtful work, and the kind of impact that stretches from store shelves to kitchen tables, and food bowls, across the country.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minn. is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Sr. Manager, Data Science & GenAI
Do you see patterns or opportunities in data that others don’t? Are you passionate about applying advanced analytics and generative AI to solve real-world business challenges? Do you thrive on influencing cross-functional teams and senior leaders to embrace data-driven innovation?
As a Sr. Manager of Data Science and GenAI at Post Consumer Brands, you will lead the charge in transforming data into strategic insights and next-generation solutions. You’ll guide a team of Data Scientists and Machine Learning Engineers, and collaborate across departments to drive adoption of GenAI and advanced analytics. This is a high-impact role for a visionary leader who combines technical depth with the ability to influence and inspire.
Key Responsibilities
+ **Lead Data Science Strategy & Execution** Translate complex business problems into analytical frameworks. Build and scale data science capabilities across PCB, leveraging tools and standards from Post Holdings.
+ **Champion GenAI Innovation** Stay ahead of emerging GenAI trends and technologies. Identify high-impact use cases and lead the design, development, and deployment of generative AI models that drive measurable business outcomes.
+ **Influence & Evangelize Across the Organization** Partner with senior leaders in finance, supply chain, manufacturing, sales, and marketing to prioritize opportunities and influence strategic decisions. Communicate the value of data science and GenAI in clear, compelling ways to drive adoption and alignment.
+ **Build & Mentor a High-Performing Team** Lead a team of data scientists and ML engineers, fostering a culture of innovation, collaboration, and continuous learning. Provide coaching, feedback, and development opportunities to grow technical talent.
+ **Drive Operational Excellence** Manage resources and project prioritization to align with company strategy. Oversee ML Ops, model deployment, and post-mortem analyses to ensure accuracy and continuous improvement.
+ **Develop & Communicate Insights** Create intuitive dashboards and visualizations in Tableau or Power BI. Present findings and recommendations to stakeholders in a clear, actionable format.
+ **Implement GenAI Strategy** Collaborate with IT leadership to align GenAI initiatives with enterprise goals. Ensure responsible usage and support through best practices and training.
Qualifications
+ Proven experience in data science, machine learning, and generative AI technologies
+ Strong track record of influencing cross-functional teams and senior leadership
+ Experience leading end-to-end data science projects from ideation to deployment
+ Familiarity with ML Ops, model evaluation, and data visualization tools
+ Passion for GenAI and its transformative potential in business
+ Demonstrated ability to mentor technical teams and foster innovation
Qualifications
**Education:** Bachelor’s degree from four-year college or university and advanced degree preferred (Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject a plus) or seven to 10 years related experience; or equivalent combination of education and experience.
Experience:
+ CPG experience preferred.
+ 6-8 years of proven experience leading collaborative data science projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly
+ 4-6 years of development experience in an object-oriented programming language (Python 3.x preferred). Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment)
+ Experience building products that use or incorporate Large Language Models.
+ Experience with machine learning platforms and cloud computing, e.g., Microsoft Azure ML (preferred), Amazon SageMaker, Google Vertex AI
+ Demonstrated expertise in open-source libraries for advanced data analysis, statistical/machine learning models, and optimization, e.g. Pandas, Sci-Kit learn, Scipy, and OR Tools for Python
+ 4-6 years of experience designing solutions with business intelligence, reporting, or data visualization software packages (Tableau, PowerBI, Qlik, Looker, Cognos, R Shiny, D3, Python matplotlib)
+ Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to business functions.
+ Ability to prioritize and manage multiple projects and competing priorities, and follow-through on committed deliverables using team-based project management with both Agile and Waterfall approaches to meet deadlines and deliver high-quality work.
+ Complex relational database development, maintenance, and exception testing experience (Snowflake, Oracle, etc.).
The pay range for this position is $113,987 - $177,820 per year.
Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
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